How to Use the Flatwork ATS MCP in CrewAI

Q: How do I add the Flatwork ATS MCP Server to a CrewAI agent?

Pass your Vinkius HTTP URL directly into the agent's mcps list. Your CrewAI agent will instantly gain access to tools like createapplicant and listjobs for autonomous execution.

Q: Can a CrewAI team update applicant stages in Flatwork ATS?

Yes, your agents can collaborate to run updateapplicationstatus. A researcher agent can vet the candidate, and a manager agent can execute the status update in Flatwork ATS based on the findings.

Q: Can my crew manage webhooks for real-time alerts?

Yes, agents can run listwebhooks to verify active listeners. This allows your crew to confirm that external hiring events are correctly routing to your automated system.

Deploy a team of autonomous hiring agents to manage your Flatwork ATS pipeline using this CrewAI MCP Server.

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Connect Flatwork ATS MCP to CrewAI

Create your Vinkius account to connect Flatwork ATS to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Flatwork ATS with CrewAI

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Multi-agent candidate screening teams

CrewAI allows you to set up a recruiting team where one agent uses `list_applicants` to find new profiles, and another uses `get_applicant` to review their backgrounds. They share a memory pool to avoid double-screening. Once the screening agent finishes, a coordinator agent uses `update_application_status` to move the candidate to the interview stage, running the whole sequence autonomously.

Autonomous job matching via this MCP Server

Let a specialized CrewAI agent manage your open positions in Flatwork ATS. By connecting this MCP Server, your CrewAI agent can pull job descriptions using `list_jobs` and match them against incoming applications. The agent uses `get_job` to extract specific requirements, then cross-references them with the applicant pool. This lets your crew identify top talent without manual sorting.

Automatic pipeline tracking

Keep your Flatwork ATS hiring pipeline clean by assigning a CrewAI agent to audit active applications. The agent calls `list_applications` to identify candidates stuck in old stages. It then uses `update_application_status` to clean up stale records or flag them for recruiter review. This keeps your ATS accurate and prevents candidates from falling through the cracks.

Setup guide

Set up Flatwork ATS MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Flatwork ATS tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Flatwork ATS Analyst",
    goal="Access and analyze Flatwork ATS data via MCP.",
    backstory="Expert analyst with direct Flatwork ATS access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Flatwork ATS transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Flatwork ATS Analyst",
        goal="Access and analyze Flatwork ATS data via MCP.",
        backstory="Expert analyst with direct Flatwork ATS access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Flatwork ATS transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flatwork ATS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Flatwork ATS MCP in CrewAI

Pass your Vinkius HTTP URL directly into the agent's `mcps` list. Your CrewAI agent will instantly gain access to tools like `create_applicant` and `list_jobs` for autonomous execution.

Yes, your agents can collaborate to run `update_application_status`. A researcher agent can vet the candidate, and a manager agent can execute the status update in Flatwork ATS based on the findings.

You can configure CrewAI's execution flow to space out tool calls like `list_applicants` or `get_job`. This prevents your agent team from hitting Flatwork ATS API limits during high-volume screening sessions.

Yes, agents can run `list_webhooks` to verify active listeners. This allows your crew to confirm that external hiring events are correctly routing to your automated system.

Candidate details and application histories remain secure. This MCP Server runs inside Vinkius's ephemeral V8 sandbox, meaning applicant profiles are processed in memory and never stored or exposed to external networks.

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